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Results for "bayesian network"

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Artificial Intelligence for Breast Cancer Detection

    Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Diagnostic Radiology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Epidemiology, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Data Science for Marketing

    Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Marketing Effectiveness, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Simulations, Advanced Mathematics, Engineering Analysis, Time Series Analysis and Forecasting, Global Positioning Systems, Probability & Statistics, Systems Of Measurement, Applied Mathematics, Statistical Methods, Probability Distribution, Predictive Analytics, Computational Thinking, Predictive Modeling, Control Systems

    4.9
    Rating, 4.9 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Computational Logic, Program Development, Bayesian Network, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Algorithms, Computational Thinking, Creativity, Markov Model, Software Development, Generative AI, Artificial Neural Networks, Theoretical Computer Science, Responsible AI, Social Sciences, Bioinformatics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    630 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Computational Thinking, Engineering Analysis, Algorithms, Computer Programming Tools

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Razonamiento artificial

    Skills you'll gain: Computational Logic, Bayesian Network, Markov Model, Artificial Intelligence, Logical Reasoning, Deductive Reasoning, Programming Principles, Probability, Mathematical Modeling, Algorithms

    4.1
    Rating, 4.1 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 3 Months

12

In summary, here are 10 of our most popular bayesian network courses

  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Probabilistic Graphical Models: Stanford University
  • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Data Science for Marketing: University of Colorado System
  • Applied Kalman Filtering: University of Colorado System
  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
  • Statistical Methods for Computer Science: Johns Hopkins University

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